Role of landscape and hydrologic attributes in developing and interpreting yield clusters

Bakhsh, Allah; Kanwar, Rameshwar S.; Malone, Robert W.

doi:10.1016/j.geoderma.2007.04.008

Cited by 11 publications

(13 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The enhanced model was used to simulate the effects of a winter wheat cover crop on N loading, and found a simulated reduction in loading of 38% compared to no cover crop. Bakhsh et al (2007) used cluster and discriminant analysis to confirm that soil and topographic attributes affect corn and soybean yield patterns, which could be used to scale yield estimates from point scale models like RZWQM to field sizes much larger than the 0.4 ha plots at Nashua. reported that soil water retention curves from intact soil cores were taken near the long-term experimental fields at Nashua.…”

Section: Review Of Prior Rzwqm Results At Nashuamentioning

confidence: 99%

“…yields, tileflow, and N concentration in drainage. According to Bakhsh et al (2007), slopes at Nashua range from 0% to 8%, which corresponds to the slope groups A, B, and C (0-2%; 2-5%; and 5-9%). For this study we assume that Nashua represents land with similar soils and slopes found within the Natural Resources Conservation Service (NRCS) Major Land Resource Area 104, Eastern Iowa and Minnesota Till Prairies.…”

Section: Problem Definition (Steps 1 and 2)mentioning

confidence: 99%

See 1 more Smart Citation

Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management

Heilman¹,

Malone²,

Ma³

et al. 2012

Agricultural Systems

Self Cite

View full text Add to dashboard Cite

A 45% reduction in riverine total nitrogen flux from the 1980-1996 time period is needed to meet water quality goals in the Mississippi Basin and Gulf of Mexico. This paper addresses the goal of reducing nitrogen in the Mississippi River through three objectives. First, the paper outlines an approach to the site-specific quantification of management effects on nitrogen loading from tile drained agriculture using a simulation model and expert review. Second, information about the net returns to farmers is integrated with the nitrogen loading information to assess the incentives to adopt alternative management systems. Third, the results are presented in a decision support framework that compares the rankings of management systems based on observed and simulated values for net returns and nitrogen loading. The specific question addressed is how information about the physical and biological processes at Iowa State University's Northeast Research Farm near Nashua, Iowa, could be applied over a large area to help farmers select management systems to reduce nitrogen loading in tile drained areas. Previous research has documented the parameterization and calibration of the RZWQM model at Nashua to simulate 35 management system effects on corn and soybean yields and N loading in tileflow from 1990 to 2003. As most management systems were studied for a 6 year period and in some cases weather had substantial impacts, a set of 30 alternative management systems were also simulated using a common 1974-2003 input climate dataset. To integrate an understanding of the economics of N management, we calculated net returns for all management systems using the DevTreks social budgeting tool. We ranked the 35 observed systems in the Facilitator decision support tool using N loading and net returns and found that rankings from simulated results were very similar to those from the observed results from both an onsite and offsite perspective. We analyzed the effects of tillage, crop rotation, cover crops, and N application method, timing, and amount for the 30 long term simulations on net returns and N loading. The primary contribution of this paper is an approach to creating a quality assured database of management effects on nitrogen loading and net returns for tile drained agriculture in the Mississippi Basin. Such a database would systematically extend data from intensively monitored agricultural fields to the larger area those fields represent. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. a b s t r a c t A 45% reduction in riverine total nitrogen flux from the 1980-1996 time period is needed to meet water quality goals in the Mississippi Basin and Gulf of Mexico. This paper addresses the goal of reducing nitrogen in the Mississippi River through three objectives. First, the paper outlines an approach to the site-specific quantification of management effects on nitrogen loading from tile drained...

show abstract

Section: Review Of Prior Rzwqm Results At Nashuamentioning

confidence: 99%

Section: Problem Definition (Steps 1 and 2)mentioning

confidence: 99%

Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management

Heilman¹,

Malone²,

Ma³

et al. 2012

Agricultural Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Kriging is most suitable interpolation technique and has many advantages over the others as reported in literature. Such an approach has been recommended and used by many other researchers [33][34][35][36]. Kumar and Remadevi [37] compared the Inverse Squire Distance (ISD) and kriging interpolation techniques for the spatial analysis of groundwater levels and reported that the ISD method resulted in higher error as compared to the kriging method.…”

Section: Preparation Of Spatial Distribution Mapsmentioning

confidence: 99%

Site-Specific Aquifer Characterization and Identification of Potential Groundwater Areas in Pakistan

Farid

Mahmood-Khan

Ali

et al. 2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Detailed knowledge about site-specific aquifer characteristics, subsurface lithology, and groundwater potential can help to determine the depth and location of fresh groundwater quality. The present research study was carried out by conducting 80 vertical electrical sounding surveys (VESs) in Rahim Yar Khan District (RYK), Punjab, Pakistan to distinguish the fresh groundwater aquifer from saline groundwater and to evaluate the aquifer protective capacity (APC) of overburden. 1XID software (Interpex, USA) was used to accomplish the interpretation of VES data. The VES interpreted data was used to prepare spatial distribution maps of aquifer apparent resistivity (AR), layer thickness, longitudinal conductance (LC), and transverse resistance (TR) for the second, third, and fourth subsurface layers using ArcGIS 10.1. The results showed that the greater part of the study area (65%) had four subsurface geo-electric layers. The spatial distribution maps for AR showed that the fresh groundwater quality was present on the northwestern and northeastern sides of the study area for all the layers. The results also indicated that the APC of overburden increased with the increase of depth from the ground surface. Layer 4 with thickness of 57.09 m showed good APC in the northern and central parts with LC values of >0.7 mhos. Similarly, the higher values of TR showed higher yield potential in the north-eastern part as compared to the southern part. Overall analysis indicated that the spatial distribution maps of AR, layer thickness, LC, and TR should be helpful for future groundwater development in terms of quality and quantity.

show abstract

“…Many researchers have used map overlay analysis to determine the integrated effects of various factors (Hashmi et al, 1995;Diaz et al, 1998). GIS software has ability to generate and overlay various data layers in order to investigate their interaction with each other over space and time domain (Bakhsh et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Spatial Relationships of Landscape Attributes and Wheat Yield Patterns

Farid¹,

Bakhsh²,

Ahmad³

et al. 2012

JAS

Self Cite

View full text Add to dashboard Cite

Success of precision farming practices requires knowledge of fields such as soil type, topography, soil nutrients, spatial variability effects, yield patterns and their spatial relationships. A three year (2008-09 to 2010-11) field experimental study was conducted at Postgraduate Agricultural Research Station, University of Agriculture, Faisalabad, Pakistan, to identify the influencing landscape parameters and their spatial distribution, having effects on wheat yield patterns using artificial neural network (ANN) and GIS map overlay techniques. A total of 48 soil samples were collected from top 30 cm of the soil, before sowing, at center of each grid of 24 x 67 m in size along with position data using Global Positioning System receiver (GARMIN, GPS60). Landscape attributes such as elevation, %sand, %silt, %clay, soil electrical conductivity (EC), pH, soil nitrogen (N) and soil phosphorus were included in the analysis. ANN analysis revealed that urea fertilizer treatments, followed by %sand, %silt, % clay, elevation, soil nitrogen and EC were ranked as the most influencing parameters. The yield data, however, were normalized to remove fertilizer treatments effects and then were used in the subsequent analysis. The map overlay analysis showed that the areas having lower elevation, lower soil EC and higher levels of soil N produced higher yields. Whereas the areas having higher elevation, higher soil EC and moderate soil N produced lower yields, establishing the cause-effect relationships. These results indicated that ANN and GIS techniques were helpful in identifying the influencing parameters affecting wheat yield, which can be managed under precision farming practices.

show abstract

Role of landscape and hydrologic attributes in developing and interpreting yield clusters

Cited by 11 publications

References 46 publications

Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management

Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management

Site-Specific Aquifer Characterization and Identification of Potential Groundwater Areas in Pakistan

Spatial Relationships of Landscape Attributes and Wheat Yield Patterns

Contact Info

Product

Resources

About